Risk assessment of international construction projects using the analytic network process

In this study, an analytic network process (ANP), which can handle the interrelations between risk related factors, is proposed as a reliable technique for measuring the level of risk associated with international construction projects. Within this context, ANP is used to derive the relative priorities of risk factors as an input to a decision support tool, which can be utilized during bidding decisions. The decision support tool may help a decision maker to estimate the level of risk so that alternative projects may be ranked with respect to their risk levels and appropriate contingency values may be defined after a bid decision is given. The tool has a database in which risk information of the rated projects can be stored for future use. The reliability of the tool was tested on eight real cases and satisfactory results were achieved in estimating the risk level.

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A case-based decision support tool for bid mark-up estimation of international construction projects

Automation in Construction ◽

10.1016/j.autcon.2007.02.009 ◽

2007 ◽

Vol 17 (1) ◽

pp. 30-44 ◽

Cited By ~ 59

Author(s):

Irem Dikmen ◽

M. Talat Birgonul ◽

A. Kemal Gur

Keyword(s):

Decision Support ◽

Construction Projects ◽

Decision Support Tool ◽

Support Tool ◽

International Construction ◽

Case Based

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Derivation and validation of a decision support algorithm for urgent admissions to long-term care homes in Ontario

10.31219/osf.io/34tvb ◽

2019 ◽

Author(s):

Aaron Jones ◽

Chi-Ling Joanna Sinn

Keyword(s):

Decision Support ◽

Long Term Care ◽

Care Home ◽

Decision Support Tool ◽

Fundamental Principle ◽

Care Homes ◽

Risk Level ◽

Term Care ◽

Support Tool

Equitable access to care is a fundamental principle of Canada’s healthcare system. In Ontario, the absence of a provincial standard to support consistent decision making around urgent admissions to long-term care homes has led to variation in practice across the province. A working group was established in 2014 to develop an evidence-informed decision support tool to promote consistency in care planning regarding urgent admissions to long-term care homes. The resulting CRISIS algorithm demonstrates good prognostic ability, with the proportion of patients urgently admitted to a long-term care home within 90 days ranging from 2.4% in the lowest risk level to 39.9% in the highest risk level. The implementation of the algorithm will improve equity in access to long-term care homes in Ontario.

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Construction Site Layout Planning Using a Simulation-Based Decision Support Tool

Logistics ◽

10.3390/logistics5040065 ◽

2021 ◽

Vol 5 (4) ◽

pp. 65

Author(s):

SeyedReza RazaviAlavi ◽

Simaan AbouRizk

Keyword(s):

Decision Support ◽

Construction Projects ◽

Material Handling ◽

Decision Support Tool ◽

Construction Site ◽

Layout Planning ◽

Support Tool ◽

Site Layout ◽

Simulation Based ◽

Construction Site Layout

Background: A site layout plan is one of the important decisions to be made in the planning phase of each construction project as it can significantly impact on-site transportation, construction logistics, and safety. This decision could be complicated owing to the uncertainties inherent in construction projects and the complex relationships between the influencing factors and decision variables. Methods: To improve site layout planning, this study aims to develop a simulation-based decision support tool (DST) that enables planners to consider the following: (1) construction uncertainties, (2) construction resources (i.e., material, equipment, and workers), (3) site layout constraints, and (4) mutual impacts between site layout and construction plan variables, for site layout planning of construction projects. Results: The developed DST visualizes the site layout plan within a simulation environment and provides seamless interactions between the site layout model and the simulation model. These capabilities facilitate planning construction site layout using simulation by establishing two-way information flows between the site layout and simulation components, which can further promote application of simulation in construction site layout planning. Usefulness and practicality of the proposed DST is demonstrated in site layout planning of a steel erection project. Conclusions: Using this DST can reduce some common wastes in construction projects and the cost associated with them, including on-site transportation, material handling and storage, and waiting time for the material arrival.

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